Meta-Analytically Informed Network Analysis of Resting State fMRI Reveals Hyperconnectivity in an Introspective Socio-Affective Network in Depression

2014 | journal article

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​Meta-Analytically Informed Network Analysis of Resting State fMRI Reveals Hyperconnectivity in an Introspective Socio-Affective Network in Depression​
Schilbach, L.; Müller, V. I.; Hoffstaedter, F.; Clos, M.; Goya-Maldonado, R. ; Gruber, O.   & Eickhoff, S. B.​ (2014) 
PLoS ONE9(4) art. e94973​.​ DOI: https://doi.org/10.1371/journal.pone.0094973 

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Authors
Schilbach, Leonhard; Müller, Veronika I.; Hoffstaedter, Felix; Clos, Mareike; Goya-Maldonado, Roberto ; Gruber, Oliver ; Eickhoff, Simon B.
Editors
Marinazzo, Daniele
Abstract
Alterations of social cognition and dysfunctional interpersonal expectations are thought to play an important role in the etiology of depression and have, thus, become a key target of psychotherapeutic interventions. The underlying neurobiology, however, remains elusive. Based upon the idea of a close link between affective and introspective processes relevant for social interactions and alterations thereof in states of depression, we used a meta-analytically informed network analysis to investigate resting-state functional connectivity in an introspective socio-affective (ISA) network in individuals with and without depression. Results of our analysis demonstrate significant differences between the groups with depressed individuals showing hyperconnectivity of the ISA network. These findings demonstrate that neurofunctional alterations exist in individuals with depression in a neural network relevant for introspection and socio-affective processing, which may contribute to the interpersonal difficulties that are linked to depressive symptomatology.
Issue Date
2014
Journal
PLoS ONE 
ISSN
1932-6203
Language
English

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